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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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, ultimately providing scientific guidance for the industrial deployment of sustainable plasma-based waste valorization technologies. WHAT WE ARE LOOKING FOR You have a PhD in Environmental Engineering, Chemical
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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need an individual with the following qualifications: • PhD in Food Science or Engineering, Chemical Engineering or Mechanical Engineering • Sound background in engineering or science with emphasis
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interdisciplinary research culture. Person Specification Applicants should have a PhD awarded, or a PhD thesis submitted, in Theoretical Physics, Mathematics or a closely related discipline. They should have
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, policy, law, creativity, communications, science and technology. Our students are at the heart of everything that we do, and we are committed to supporting them to pursue their career and personal
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set of stakeholders on designing a generalizable solution. You should also have: a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar; experience
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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered
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applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
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-collaboration skills. Criteria of the candidate: PhD in the subject discipline with relevant experience as a postdoctoral researcher. Proven ability to perform multidisciplinary research and contribute to funded